Vice President, Data Product Strategy

Key Responsibilities

• Define and lead Forge’s enterprise-wide data strategy aligned with company growth objectives.
• Identify opportunities to transform proprietary data into differentiated, revenue-generating products.
• Establish Forge as a leader in private market pricing, benchmarks, analytics, content and insights.
• Partner with Product and Engineering to design and launch data-driven products (e.g., private company evaluated prices, private market indices, valuation tools, market intelligence platforms, contents and insights).
• Drive roadmap prioritization for data offerings, balancing client demand, scalability, and monetization.
• Collaborate with Sales and Marketing to package and position data products effectively.
• Partner with Engineering and Data teams to scale data pipelines, architecture, and tooling.
• Develop and execute strategies to commercialize data assets, including subscriptions, APIs, and enterprise licensing.
• Support go-to-market efforts, including pricing models, client segmentation, sales enablement, partnerships and alliances.
• Partner with internal and external clients to understand data needs and refine offerings.
• Oversee advanced analytics initiatives to generate insights on market trends, liquidity, pricing, and investor behavior.
• Lead development of thought leadership content leveraging Forge’s unique dataset.
• Collaborate with Product, Engineering, Sales, Research, and Go-to-Market teams.
• Serve as a senior thought partner to executive leadership on data-driven strategy.
• Build and lead a high-performing team across data product, analytics, and strategy functions.

Qualifications

• Experience
  • 10+ years in data strategy, data products, analytics, or related roles.
  • Strong experience in financial services, capital markets, or fintech (private markets experience highly preferred).
  • Proven track record of building and commercializing data products or platforms.
  • Experience working with retail, advisory, and institutional investors and understanding their data needs.
• Skills & Expertise
  • Strong analytical background with ability to translate data into strategic insights.
  • Familiarity with data commercialization models.
  • Excellent stakeholder management and executive communication skills.
• Leadership
  • Demonstrated ability to lead cross-functional initiatives in a fast-paced environment.
  • Experience building and scaling teams.
  • Strategic thinker with a hands-on, execution-oriented mindset.

Preferred Qualifications

• Experience with alternative assets or private market datasets (e.g., venture, pre-IPO equity, secondary markets).
• Background in building pricing models, indices, or financial benchmarks.
• Advanced degree in business, finance, data science, or related field.